Evidence map›Paper›PMID 29581459›Full record

ArticleScientific reports2018

Predictors and estimation of risk for early exit from working life by poor health among middle and older aged workers in Korea.

Wanhyung Lee, Jin-Ha Yoon, Jung-Wan Koo, Sei-Jin Chang, Jaehoon Roh, Jong-Uk Won

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Factors associated with quality of life in retirement: a systematic review.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Wanhyung LeeThe Institute for Occupational Health, College of Medicine, Yonsei University, Seoul, Korea.
Jin-Ha YoonThe Institute for Occupational Health, College of Medicine, Yonsei University, Seoul, Korea.
Jung-Wan KooDepartment of Occupational and Environmental Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Sei-Jin ChangDepartment of Preventive Medicine, Institute Occupational and Environmental Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
Jaehoon RohThe Institute for Occupational Health, College of Medicine, Yonsei University, Seoul, Korea.
Jong-Uk WonThe Institute for Occupational Health, College of Medicine, Yonsei University, Seoul, Korea. juwon@yuhs.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aims of this study were to investigate the predictors and estimate the risk for early exit from work owing to poor personal health status of the retirees. This study analysed the longitudinal data of 2,708 workers aged more than 45 years old from the Korean Longitudinal Study of Ageing. Multivariate Cox regression analyses were conducted to identify the predictors and to build a prediction model for early exit from work due to poor health. Internal validation was performed using random split, and external validation using the English Longitudinal Study of Ageing. Over the 8-year follow-up, 124 workers exited work early because of poor health. Significant predictors for early exit from work due to poor health included hypertension (hazard ratio [HR], 1.52; 95% confidence interval [CI], 1.01-2.28), abnormal body mass index (HR, 1.60; 95% CI, 1.10-2.35), decreased grasping power index, and perceived health status. The prediction model designed to estimate the risk of unwanted early exit from work because of poor health status showed fair performance in both the internal and external validations. The current study revealed the specific determinants and the possibility of prediction of shortened working life due to poor health status.

Indexed as

Health StatusSocioeconomic FactorsAdultAgedBody Mass IndexEmploymentFemaleHand StrengthHumansHypertensionMaleMiddle AgedProportional Hazards ModelsQuality of LifeRepublic of KoreaRetirement

Identifiers

PMID29581459
PMCPMC5979952

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.